Triple
T10934287
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Taverny |
E258288
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object |
Beauchamp
Beauchamp is a commune in the northern suburbs of Paris, France, known for its residential character and proximity to other Val-d'Oise towns like Taverny.
|
E893727
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Beauchamp | Statement: [Taverny, locatedNear, Beauchamp]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Beauchamp Context triple: [Taverny, locatedNear, Beauchamp]
-
A.
Beauchamp Duff
Beauchamp Duff was a British Indian Army general who served as Commander-in-Chief in India during the early years of the First World War.
-
B.
Brinsley
Brinsley is the middle name of the renowned Irish playwright and politician Richard Brinsley Sheridan, best known for works like "The School for Scandal."
-
C.
Beaufoy
Beaufoy was an early 19th-century sealing and exploration vessel commanded by James Weddell during his Antarctic voyages.
-
D.
Beaufoy
Beaufoy is an English surname most notably borne by Oscar-winning screenwriter Simon Beaufoy.
-
E.
Scarphe
Scarphe is a figure from Greek mythology known primarily as the wife of Aeson, the father of the hero Jason.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Beauchamp Triple: [Taverny, locatedNear, Beauchamp]
Generated description
Beauchamp is a commune in the northern suburbs of Paris, France, known for its residential character and proximity to other Val-d'Oise towns like Taverny.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Beauchamp Target entity description: Beauchamp is a commune in the northern suburbs of Paris, France, known for its residential character and proximity to other Val-d'Oise towns like Taverny.
-
A.
Beauchamp Duff
Beauchamp Duff was a British Indian Army general who served as Commander-in-Chief in India during the early years of the First World War.
-
B.
Brinsley
Brinsley is the middle name of the renowned Irish playwright and politician Richard Brinsley Sheridan, best known for works like "The School for Scandal."
-
C.
Beaufoy
Beaufoy was an early 19th-century sealing and exploration vessel commanded by James Weddell during his Antarctic voyages.
-
D.
Beaufoy
Beaufoy is an English surname most notably borne by Oscar-winning screenwriter Simon Beaufoy.
-
E.
Scarphe
Scarphe is a figure from Greek mythology known primarily as the wife of Aeson, the father of the hero Jason.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d6aa8769b4819082bfe5e61b9017f0 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d770ae073881909720febe9f5f296a |
completed | April 9, 2026, 9:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e2176328448190bbce6735ec97507a |
completed | April 17, 2026, 11:20 a.m. |
| NEDg | Description generation | batch_69e21d8aea2881908ac8f5225b8739c5 |
completed | April 17, 2026, 11:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e21eb18a1881908ded331db89063ed |
completed | April 17, 2026, 11:51 a.m. |
Created at: April 8, 2026, 9:23 p.m.